Smart Data Collective

MAY 31, 2022

Machine learning and artificial intelligence (AI) have certainly come a long way in recent times. Towards Data Science published an article on some of the biggest developments in machine learning over the past century. A number of new applications are making machine learning technology more robust than ever.

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Smart Data Collective

JULY 1, 2023

One development that AI has led to is the growth of image annotation. Image annotation is the act of labeling images for AI and machine learning models. It involves human annotators using a tool to label images or tag relevant information. The resulting structured data is then used to train a machine learning algorithm.

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Smart Data Collective

JUNE 22, 2023

Taking the world by storm, artificial intelligence and machine learning software are changing the landscape in many fields. Earlier today, one analysis found that the market size for deep learning was worth $51 billion in 2022 and it will grow to be worth $1.7 Amazon has a very good overview if you want to learn more.

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CIO

AUGUST 24, 2023

Multinational data infrastructure company Equinix has been capitalizing on machine learning (ML) since 2018, thanks to an initiative that uses ML probabilistic modeling to predict prospective customers’ likelihood of buying Equinix offerings — a program that has contributed millions of dollars in revenue since its inception.

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Smart Data Collective

MAY 29, 2023

This bias can emerge due to multiple factors, such as the training data, algorithmic design, and human influence. Recognizing and comprehending the different forms of algorithm bias is crucial to develop effective strategies for bias mitigation. AI translation models must collect and annotate data fairly.

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CIO

MAY 10, 2023

Through this evolution, it is critical that companies consider that ChatGPT is a public model built to grow and expand off use through advanced learning models. Accurate metadata is critical to ensure that private algorithms can be trained to emphasize the most important data sets with reliable and relevant information.

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Smart Data Collective

AUGUST 11, 2022

Human labeling and data labeling are however important aspects of the AI function as they help to identify and convert raw data into a more meaningful form for AI and machine learning to learn. Faster and Better Learning. However, Ai uses algorithms that can screen and handle large data sets.

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